Author:
Zhou Xiaopu,Li Yolanda Y. T.,Fu Amy K. Y.,Ip Nancy Y.
Abstract
The high prevalence of Alzheimer’s disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a polygenic score model that considers multiple genetic risks. Here, we systemically review the rationale and methods used to construct polygenic score models for studying AD. We also discuss the associations of polygenic risk scores (PRSs) with clinical outcomes, brain imaging findings, and biochemical biomarkers from both the brain and peripheral system. Finally, we discuss the possibility of incorporating polygenic score models into research and clinical practice along with potential challenges.
Funder
Research Grants Council, University Grants Committee
Innovation and Technology Commission - Hong Kong
Ministry of Science and Technology of the People’s Republic of China
Shenzhen Knowledge Innovation Program
Cited by
23 articles.
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